code: def testGradient(self):
      def func(x):
          x2 = composite_tensor_ops.composite_tensor_to_variants(x * 2)
          x3 = composite_tensor_ops.composite_tensor_from_variant(
              x2, x._type_spec
          )
          return x3.with_values(x3.values * math_ops.range(6.0))
  
      x = ragged_factory_ops.constant(
          [[1.0, 2.0, 3.0], [4.0], [5.0, 6.0]]
      )
      if context.executing_eagerly():
          with backprop.GradientTape() as t:
              t.watch(x.values)
              y = func(x)
              g = t.gradient(y.values, x.values)
      else:
          y = func(x)
          g = gradients_impl.gradients(ys=y.values, xs=x.values)[0]
      self.assertAllClose(g, [0.0, 2.0, 4.0, 6.0, 8.0, 10.0])
  
imports: from absl.testing import parameterized
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import composite_tensor_ops
  from tensorflow.python.ops import gen_composite_tensor_ops
  from tensorflow.python.ops import gen_list_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import parsing_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import googletest
  from tensorflow.python.util import nest
label_desc: Use image node_id 7 for calling the ExtensionTypeTest obj's underlying member method code with example usage: obj.testGradient() and returns: x3